Design scripts to automate the process of downloading publicly available information from the internet and use web scraping tools to parse this information into a format that may be used for subsequent processing

Integrate existing C++ libraries into a Python codebase using CFFI in order to overcome Python performance issues in runtime critical applications

Understand tools for versioning Python code, writing unit and regression tests, and setting up an automated framework for packaging and deployment of code

Suitability - Who should attend?

This course is ideal for financial analysts, business analysts, portfolio analysts, quantitative analysts, risk managers, model validators, quantitative developers and information systems professionals. Taking either the intermediate level course or having a working knowledge of the Python language is a prerequisite to attending this course. We expect participants to have a basic knowledge of finance and basic notions of programming as well.

About provider

Part of the Fitch Group, Fitch Learning partners with clients to enhance knowledge, skills and conduct. With centers in London, New York, Singapore, Dubai and Hong Kong, we are committed to questioning and understanding client needs across the globe and...